Say you have an array for which the ith element is the price of a given stock on day i.
If you were only permitted to complete at most one transaction (ie, buy one and sell one share of the stock), design an algorithm to find the maximum profit.
Example 1:
Input: [7, 1, 5, 3, 6, 4]
Output: 5
max. difference = 6-1 = 5 (not 7-1 = 6, as selling price needs to be larger than buying price)
Example 2:
Input: [7, 6, 4, 3, 1]
Output: 0
In this case, no transaction is done, i.e. max profit = 0.
思路首先:动态规划
遍历数组时记录当前价格以前的最小价格curMin,记录昨天能够获得的最大利润maxProfit。对于今天,为了能获得此刻的最大利润,显然只能卖,或者不做任何操作。如果不做任何操作,显然还是昨天maxProfit。如果卖掉今天天的股票,显然prices[i]-curMin。
public

给定一个数组,其中每个元素表示某天股票的价格,设计一个算法找到最大利润。只能进行一次交易,即买入和卖出各一次。例如,输入[7, 1, 5, 3, 6, 4],最大利润为5(6-1)。使用动态规划方法,遍历数组时记录当前最小价格和前一天的最大利润,以确定最佳买卖时机。"
50159223,5464399,生动有趣的NiftyNotification:Android Toast增强版,"['Android开发', 'UI设计', '开源库', '通知', '动画']
订阅专栏 解锁全文
274

被折叠的 条评论
为什么被折叠?



